ISSR Methodology Workshop | De-Mystifying Bayesian Statistics

Event date/time:

Description: This workshop aims to introduce participants to the basic principles of Bayesian statistics, an alternative to null hypothesis significance testing that has been increasing in popularity in recent years. Participants will receive hands-on experience computing Bayes Factors in R for hypotheses that would otherwise be tested with a one-sample t-test, two-sample t-test, or ANOVA. We will conclude by reviewing how Bayesian statistics, and the Bayes Factor specifically, may be reported in a journal article. Participants should have some prior experience with R.

Learning Objectives | By the end of this workshop, participants will be able to:

Better understand the basic principles of Bayesian statistics

Compute a Bayes Factor in R using functions from the BayesFactor package

ISSR is supported by the University of Massachusetts Amherst's College of Social and Behavioral Sciences, the Office of the Provost, the Office of the Vice Chancellor for Research and Engagement, and the Graduate School, as well as by the College of Education, the Isenberg School of Management, and the School of Earth and Sustainability.

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